Talk Abstract: Progressing with GANs: Progressive growing for increasing quality, stability and variation.
Generative Adversarial Networks (GANs) have recently reached few tremendous milestones: generating full-HD synthetic faces, to image compression better than the state of the art to cryptography. In this talk we will start with the basics of generative models, but eventually, explore the state of the art in generating full HD images as presented in https://arxiv.org/abs/1710.10196.
Bio: Jakub Langr graduated from the University of Oxford where he also taught at OU Computing Services. He has worked in data science since 2013, most recently as a Data Science Tech Lead at Filtered.com and as an R&D Data Scientist at Mudano. Jakub is a co-author of GANs in Action by Manning Publications. Jakub also designed and teaches Data Science courses at the University of Birmingham, numerous private companies and is a guest lecturer at the University of Oxford.